Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: etsalapati@di.uoa.gr, J.Tribe@lboro.ac.uk, P.A.Goodall@lboro.ac.uk, R.I.Young@lboro.ac.uk, A.A.West@lboro.ac.uk"/> School of Business and Economics, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: T.W.Jackson@lboro.ac.uk"/>
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2021 Volume 36
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RESEARCH ARTICLE   Open Access    

Enhancing RFID system configuration through semantic modelling

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  • Abstract: Radio-Frequency Identification (RFID) system technology is a key element for the realization of the Industry 4.0 vision, as it is vital for tasks such as entity tracking, identification and asset management. However, the plethora of RFID systems’ elements in combination with the wide range of factors that need to be taken under consideration along with the interrelations amongst them, make the problem of identification and design of the right RFID system, based on users’ needs particularly complex. The research outlined in this paper seeks to optimize this process by developing an integrating schema that will encapsulate this information in a form that is both human and machine processible. Human readability will allow a shared understanding of the RFID technology domain; machine readability, automated reasoning engines to perform logical deduction techniques returning implicit information. For this purpose, the novel RFID System Configuration Ontology (RFID SCO) is developed. Hence, non-RFID experts are enabled to identify the most suitable RFID system according to their needs and RFID experts to retrieve all the relevant information required for the efficient design of the corresponding RFID system. The RFID SCO is validated and tested successfully against real-world scenarios provided by domain experts.
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  • Alien Technology Corporation. 2016. ALN-9715 Glint Jewelry/Cosmetics Inlay. Technical report, Alien Technology Corporation, 18220 Butterfield Blvd., Morgan Hill, CA 95037, USA.

    Google Scholar

    Alien Technology Corporation. 2017a. ALN-9640 Squiggle Inlay. Technical report, Alien Technology Corporation, 18220 Butterfield Blvd., Morgan Hill, CA 95037, USA.

    Google Scholar

    Alien Technology Corporation. 2017b. Higgs 3 IC Datasheet Supplement. Technical report, Alien Technology Corporation, 18220 Butterfield Blvd., Morgan Hill, CA 95037, USA.

    Google Scholar

    Arp , R, Smith , B. & Spear , A. D. 2015. Building Ontologies with Basic Formal Ontology. MIT Press.

    Google Scholar

    Baader , F., Calvanese , D., McGuinness , D. L., Nardi , D., & Patel-Schneider , P.F. (eds) 2003. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press.

    Google Scholar

    Beck , A. 2018. Measuring the impact of RFID in retailing: keys lessons from 10 case-study companies. University of Leicester.

    Google Scholar

    Bolić , M., Athalye , A. & Li , T. H. 2010. Performance of Passive UHF RFID Systems in Practice. John Wiley & Sons, Ltd, chap 1, 1–22. doi: 10.1002/9780470665251.ch1, https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470665251.ch1,.

    Google Scholar

    Brachman , R. J. & Schmolze , J. G. 1989. An overview of the KL-ONE knowledge representation system. In Readings in Artificial Intelligence and Databases, 207–230. Elsevier.

    Google Scholar

    Brintrup , A., Roberts , P., Ghwash , O. & Astle , M. 2008. Definition of RFID Decision Ssupport System for Manufacturing Applications. BRIDGE Project White Paper.

    Google Scholar

    Burleson , C., Gutirrez , M. E. & Mihindukulasooriya , N. 2014. Linked Data Platform Best Practices and Guidelines. https://www.w3.org/TR/ldp-bp/.

    Google Scholar

    Calvanese , D., Giese , M., Haase , P., Horrocks , I., Hubauer , T., Ioannidis , Y., Jiménez-Ruiz , E., Kharlamov , E., Kllapi , H., Klüwer , J., Koubarakis , M., Lamparter , S., Möller , R., Neuenstadt , C., Nordtveit , T. C., Özcep , Ö., Rodriguez-Muro , M., Roshchin , M., Savo , M., Schmidt , M., Soylu , A., Waaler , A. & Zheleznyakov , D. 2013. Optique: OBDA solution for big data. In Extended Semantic Web Conference, 293–295. Springer.

    Google Scholar

    Campbell , J. D., Jardine , A. K. & McGlynn , J. 2016. Asset Management Excellence: Optimizing Equipment Life-Cycle Decisions. CRC Press.

    Google Scholar

    Cheng , H., Zeng , P., Xue , L., Shi , Z., Wang , P. & Yu , H. 2016. Manufacturing ontology development based on industry 4.0 demonstration production line. In 2016 Third International Conference on Trustworthy Systems and their Applications (TSA), 42–47. IEEE.

    Google Scholar

    Cho , C., Choo , H. & Park , I. 2005. Broadband RFID tag antenna with quasi-isotropic radiation pattern. Electronics Letters 41(20), 1091–1092.

    Google Scholar

    Choi , T. & Shen , B. 2016. A system of systems framework for sustainable fashion supply chain management in the big data era. In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 902–908. doi: 10.1109/INDIN.2016.7819290.

    Google Scholar

    Chongwatpol , J. & Sharda , R. 2013. Achieving lean objectives through RFID: a simulation-based assessment. Decision Sciences 44(2), 239–266.

    Google Scholar

    Colella , R., Catarinucci , L. & Tarricone , L. 2016. Passive RFID tag with sensing and reasoning capabilities for building automation. In 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech), 1–3. doi: 10.1109/SpliTech.2016.7555942.

    Google Scholar

    Cooklev , T. & Stanchev , L. 2014. A comprehensive and hierarchical ontology for wireless systems. In Wireless World Research Forum Meeting, 32. Citeseer.

    Google Scholar

    de Freitas , E. P., Olszewska , J. I., Carbonera , J. L., Fiorini , S. R., Khamis , A., Ragavan , S. V., Barreto , M. E., Prestes , E., Habib , M. K., Redfield , S., Abdelghani , C., Paulo , G., Julita , B.-A., Ricardo , S., Elisa , T., Alberto , O.-A., Andrea , A. K., Jõao , Q. & Howard , L. 2020. Ontological concepts for information sharing in cloud robotics. Journal of Ambient Intelligence and Humanized Computing, 1–12. https://protect-eu.mimecast.com/s/2scwCLZzZCVEqPYcBlOQ5?domain=link.springer.com

    Google Scholar

    Drori , R. 2005. White Paper: The Four Most Important Certifications for Rugged RFID Tags. Technical report, MTI Wireless Edge Ltd., 11 Hamelacha St. Afek Industrial Park. Rosh Ha’ayin 48091, Israel.

    Google Scholar

    Fahim , A., Elbatt , T., Mohamed , A. & Al-Ali , A. 2018. Towards extended bit tracking for scalable and robust RFID tag identification systems. IEEE Access 6, 27190–27204. doi: 10.1109/ACCESS.2018.2832119.

    CrossRef   Google Scholar

    Fernández-López , M., Gómez-Pérez , A. & Juristo , N. 1997. Methontology: from ontological art towards ontological engineering. In AAAI 1997.

    Google Scholar

    Galehdar , A., Thiel , D. V. & O’Keefe , S. G. 2007. Antenna efficiency calculations for electrically small, RFID antennas. IEEE Antennas and Wireless Propagation Letters 6, 156–159. doi: 10.1109/LAWP.2007.891960.

    CrossRef   Google Scholar

    Gandino , F., Montrucchio , B., Rebaudengo , M. & Sanchez , E. R. 2009. On improving automation by integrating RFID in the traceability management of the agri-food sector. IEEE Transactions on Industrial Electronics 56(7), 2357–2365. doi: 10.1109/TIE.2009.2019569.

    CrossRef   Google Scholar

    Gnimpieba , Z. D. R., Nait-Sidi-Moh , A., Durand , D. & Fortin , J. 2015. Using internet of things technologies for a collaborative supply chain: application to tracking of pallets and containers. Procedia Computer Science 56, 550–557. doi: https://doi.org/10.1016/j.procs.2015.07.251, http://www.sciencedirect.com/science/article/pii/S1877050915017329, the 10th International Conference on Future Networks and Communications (FNC 2015)/The 12th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2015) Affiliated Workshops.

    Google Scholar

    Grau , B. C., Horrocks , I., Motik , B., Parsia , B., Patel-Schneider , P. & Sattler , U. 2008. OWL 2: the next step for OWL. Web Semantics: Science, Services and Agents on the World Wide Web 6(4), 309–322.

    Google Scholar

    Grosinger , J., Mecklenbrauker , C. & Scholtz , A. L. 2010. UHF RFID transponder chip and antenna impedance measurements. In Proceedings of the 3rd International EURASIP Workshop RFID Technologies, Cartagena, Spain, 43–46.

    Google Scholar

    GS1 Global Office. 2019. Regulatory Status for Using RFID in the EPC Gen2 (860 to 960 mhz) Band of the UHF Spectrum. Technical report, GS1 Global Office, Avenue Louise 326, 1050 Bruxelles, Belgium. https://www.gs1.org/docs/epc/uhf_regulations.pdf.

    Google Scholar

    Hamza , H. S., Maher , M., Alaa , S. A. E. A., Khattab , A. G., Ismail , H. F. & Hosny , K. 2015. Ontology for semantic enrichment of radio frequency identification systems. International Journal of Computer and Information Engineering 9, 2244–2249.

    Google Scholar

    Haupert , J., Bergweiler , S., Poller , P. & Hauck , C. 2014. Irar: smart intention recognition and action recommendation for cyber-physical industry environments. In 2014 International Conference on Intelligent Environments, 124–131. IEEE.

    Google Scholar

    HID Global . 2017. White Paper: Selecting RFID Antennas. Technical report, HID Global, HID Global Corporation/ASSAABLOY AB, Austin, TX, USA.

    Google Scholar

    Horridge , M. & Musen , M. 2015. Snap-SPARQL: a java framework for working with SPARQL and OWL. In International Experiences and Directions Workshop on OWL, 154–165. Springer.

    Google Scholar

    Horridge , M. & Patel-Schneider , P. F. 2008. Manchester syntax for OWL 1.1. In OWLED (Spring).

    Google Scholar

    Horrocks , I., Patel-Schneider , P. F., Boley , H., Tabet , S., Grosof , B. & Dean , M. 2004. SWRL: a semantic web rule language combining owl and ruleml. W3C Member Submission 21(79), 1–31.

    Google Scholar

    Horrocks , I. 2002. DAML+OIL: a description logic for the semantic web. IEEE Data Engineering Bulletin 25(1), 4–9.

    Google Scholar

    Impinj, Inc. 2017. White Paper: RFID Tag Antenna Design: Design Overview and Guidelines v.1.0. Technical report, Impnj, Inc. www.impinj.com.

    Google Scholar

    Jiménez-Ruiz , E., Grau , B. C., Sattler , U., Schneider , T. & Llavori , R. B. 2008. Safe and economic re-use of ontologies: a logic-based methodology and tool support. In Proceedings of the 21st International Workshop on Description Logics (DL2008), Dresden, Germany, May 13–16, 2008. http://ceur-ws.org/Vol-353/Jimenez-RuizCuencaGrauSattlerSchneiderBerlanga.pdf.

    Google Scholar

    Kalyanpur , A., Parsia , B., Horridge , M. & Sirin , E. 2007. Finding all justifications of OWL DL entailments. In The Semantic Web, Aberer , K., Choi , K. S., Noy , N., Allemang , D., Lee , K. I., Nixon , L., Golbeck , J., Mika , P., Maynard , D., Mizoguchi , R., Schreiber , G. & Cudré-Mauroux , P. (eds), 267–280. Springer, Berlin, Heidelberg.

    Google Scholar

    Klair , D. K., Chin , K. & Raad , R. 2010. A survey and tutorial of RFID anti-collision protocols. IEEE Communications Surveys Tutorials 12(3), 400–421. doi: 10.1109/SURV.2010.031810.00037.

    CrossRef   Google Scholar

    Landt , J. 2005. The history of RFID. IEEE Potentials 24(4), 8–11. doi: 10.1109/MP.2005.1549751.

    CrossRef   Google Scholar

    McGuinness , D. L. & Van Harmelen , F. 2004. OWL web ontology language overview. W3C Recommendation 10(10), 2004.

    Google Scholar

    Mehdi , G., Kharlamov , E., Savković , O., Xiao , G., Kalayci , E. G., Brandt , S., Horrocks , I., Roshchin , M. & Runkler , T. 2017. SemDia: semantic rule-based equipment diagnostics tool. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2507–2510. ACM.

    Google Scholar

    Meyer , J. 2015. White Paper: Polyurethane Foam: Dielectric Materials for Use in Radomes and Other Applications. Technical report, General Plastics Manufacturing Company, 4910 Burlington Way, Tacoma, WA 98409, USA.

    Google Scholar

    Mitchell , N. 2013. White Paper: The Art and Science of UHF Passive Tag Design. Technical report, Alien Technology, 18220 Butterfield Blvd. Morgan Hill, CA 95037.

    Google Scholar

    Morenza-Cinos , M., Casamayor-Pujol , V., Soler-Busquets , J., Sanz , J. L., Guzmán , R. & Pous , R. 2017. Development of an RFID inventory robot (advanrobot). In Robot Operating System (ROS), 387–417. Springer.

    Google Scholar

    Motik , B., Sattler , U. & Studer , R. 2005. Query answering for OWL-DL with rules. Journal of Web Semantics 3(1), 41–60. doi: 10.1016/j.websem.2005.05.001, https://doi.org/10.1016/j.websem.2005.05.001.

    CrossRef   Google Scholar

    Musen , M. A. 2015. The protégé project: a look back and a look forward. AI Matters 1(4), 4–12. doi: 10.1145/2757001.2757003, https://doi.org/10.1145/2757001.2757003.

    CrossRef   Google Scholar

    Neal , A. D., Sharpe , R. G., Conway , P. P. & West , A. A. 2019. smaRTI: a cyber-physical intelligent container for industry 4.0 manufacturing. Journal of Manufacturing Systems 52, 63–75. doi:https://doi.org/10.1016/j.jmsy.2019.04.011, http://www.sciencedirect.com/science/article/pii/S027861251830428X .

    Google Scholar

    Neches , R. 1993. Building large knowledge-based systems: representation and inference in the cyc project: D.B. Lenat and R.V. Guha. Artificial Intelligence 61(1), 65–79. doi:https://doi.org/10.1016/0004-3702(93)90094-R, https://www.sciencedirect.com/science/article/pii/000437029390094R.

    Google Scholar

    Nikitin , P., Rao , K. S. V. & Lam , S. 2012. UHF RFID tag characterization: overview and state-of-the-art. In Proceedings of AMTA 2012, Seattle, WA.

    Google Scholar

    Nikitin , P. V., Rao , K. V. S., Martinez , R. & Lam , S. F. 2009. Sensitivity and impedance measurements of UHF RFID chips. IEEE Transactions on Microwave Theory and Techniques 57(5), 1297–1302. doi: 10.1109/TMTT.2009.2017297.

    CrossRef   Google Scholar

    NXP. 2019. SL3S1204, UCODE 7 IC Product Datasheet. Technical report, NXP, Eindhoven, Netherlands.

    Google Scholar

    Olszewska , J. I., Houghtaling , M., Gonçalves , P. J. S., Fabiano , N., Haidegger , T., Carbonera , J. L., Patterson , W. R., Ragavan , S. V., Fiorini , S. R. & Prestes , E. 2020. Robotic standard development life cycle in action. Journal of Intelligent and Robotic Systems 98(1), 119–131. doi: 10.1007/s10846-019-01107-w.

    CrossRef   Google Scholar

    Omni-ID Ltd. 2017. Omni-ID Exo 2000. Technical report, Alien Technology Corporation, Rochester, New York, USA.

    Google Scholar

    Park , C. & Eom , K. 2011. RFID label tag design for metallic surface environments. Sensors (Basel) 11(1), 938–948. doi: 10.3390/s110100938.1.

    CrossRef   Google Scholar

    Peroni , S. 2016. A simplified agile methodology for ontology development. In OWL: Experiences and Directions–Reasoner Evaluation, 55–69. Springer.

    Google Scholar

    Qi , S., Zheng , Y., Li , M., Liu , Y. & Qiu , J. 2016. Scalable industry data access control in RFID-enabled supply chain. IEEE/ACM Transactions on Networking 24(6), 3551–3564. doi: 10.1109/TNET.2016.2536626.

    CrossRef   Google Scholar

    Qian , Y., Zhang , K., Cao , L. & Zhang , Z. 2018. Design and research of distribution equipment and asset management system based on internet of things technology. In 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 1–6. doi: 10.1109/EI2.2018.8582376.

    Google Scholar

    Quariguasi-Frota-Neto , J., Reade , A., Dindarian , A. & Gibson , A. 2014. The newly created publicly available specification (PAS 141) for reusable electrical/electronic products: goals and research needs for successful uptake. Journal of Manufacturing Technology Management 25(8), 1135–1147.

    Google Scholar

    Raghu , D. 2018. RFID Forecasts, Players and Opportunities 2018-2028. IDTechEx.

    Google Scholar

    Rain RFID Alliance. 2018. White Paper: Electronic Vehicle Identification (EVI). Technical report, Rain RFID Alliance, One Landmark North, 20399 Route19, Cranberry Township, PA 16066, USA.

    Google Scholar

    Rao , K. V. S., Nikitin , P. V. & Lam , S. F. 2005. Antenna design for uhf rfid tags: a review and a practical application. IEEE Transactions on Antennas and Propagation 53(12), 3870–3876. doi: 10.1109/TAP.2005.859919.

    CrossRef   Google Scholar

    Ray , L. 2020. Cyber-physical systems: an overview of design process, applications, and security. In Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications, 128–150.

    Google Scholar

    Robert , W., Maciej , K., Tadeusz , N., Zbigniew , W. & Kazimierz , W. 2016. Business processes in the RFID-equipped restricted access administrative office. MATEC Web of Conferences 76, 04003. doi: 10.1051/matecconf/20167604003, https://doi.org/10.1051/matecconf/20167604003.

    Google Scholar

    Sampath Kumar , V. R., Khamis , A., Fiorini , S., Carbonera , J. L., Olivares Alarcos , A., Habib , M., Goncalves , P., Li , H. & Olszewska , J. I. 2019. Ontologies for industry 4.0. The Knowledge Engineering Review 34, e17. doi: 10.1017/S0269888919000109.

    CrossRef   Google Scholar

    Sattlegger , K. & Denk , U. 2014. White Paper: Navigating Your Way through the RFID Jungle. Technical report, Department of Computer Science, Michigan State University, Texas Instruments.

    Google Scholar

    Sharpe , R. 2016. A Standardised Approach to Developing Cyber-Physical Systems to Interact with Electrical and Electronic Equipment through the Lifecycle. PhD thesis, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, https://repository.lboro.ac.uk/articles/A_standardised_approach_to_developing_cyber-physical_systems_to_interact_with_electrical_and_electronic_equipment_through_the_lifecycle/9577472

    Google Scholar

    Sirin , E. & Parsia , B. 2007. SPARQL-DL: SPARQL query for OWL-DL. In OWLED, 258. Citeseer.

    Google Scholar

    Sirin , E., Parsia , B., Grau. B. C., Kalyanpur, A. & Katz, Y. 2007. Pellet: a practical owl-dl reasoner. Web Semantics: Science, Services and Agents on the World Wide Web 5(2), 51–53.

    Google Scholar

    Srikant , S. S. & Mahapatra , R. P. 2010. Read range of UHF passive RFID. International Journal of Computer Theory and Engineering 2, 1793–8201.

    Google Scholar

    Trappey , A. J., Trappey , C. V., Govindarajan , U. H., Chuang , A. C. & Sun , J. J. 2017. A review of essential standards and patent landscapes for the internet of things: a key enabler for Industry 4.0. Advanced Engineering Informatics 33, 208–229.

    Google Scholar

    Tribe , J. 2019. Robust RFID Design for Products and Processes Used in Industry 4.0 Manufacturing. PhD thesis, Wolfson School of Mechanical, Electrical and Manufacturing Engineering. doi: 10.26174/thesis.lboro.8269520.v1, https://repository.lboro.ac.uk/articles/Robust_RFID_design_for_products_and_processes_used_in_industry_4_0_manufacturing/8269520.

    Google Scholar

    Uschold , M. 1998. Knowledge level modelling: concepts and terminology. Knowledge Eng Review 13(1), 5–29.

    Google Scholar

    Velandia , D. M. S., Kaur , N., Whittow , W. G., Conway , P. P. & West , A. A. 2016. Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID. Robotics and Computer-Integrated Manufacturing 41, 66–77. doi:https://doi.org/10.1016/j.rcim.2016.02.004, http://www.sciencedirect.com/science/article/pii/S0736584516300576.

    Google Scholar

    Vena , A., Perret E. & Tedjini , S. 2011. Chipless RFID tag using hybrid coding technique. IEEE Transactions on Microwave Theory and Techniques 59(12), 3356–3364. doi: 10.1109/TMTT.2011.2171001.

    CrossRef   Google Scholar

    Vogt , H. 2002. Efficient object identification with passive RFID tags. In Proceedings of the First International Conference on Pervasive Computing. Springer-Verlag, London, UK, Pervasive’02, 98–113. http://dl.acm.org/citation.cfm?id=646867.706691.

    Google Scholar

    Wan , J., Yin , B., Li , D., Celesti , A., Tao , F. & Hua , Q. 2018. An ontology-based resource reconfiguration method for manufacturing cyber-physical systems. IEEE/ASME Transactions on Mechatronics 23(6), 2537–2546.

    Google Scholar

  • Cite this article

    Eleni Tsalapati, James Tribe, Paul A. Goodall, Robert I. Young, Thomas W. Jackson, Andrew A. West. 2021. Enhancing RFID system configuration through semantic modelling. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000096
    Eleni Tsalapati, James Tribe, Paul A. Goodall, Robert I. Young, Thomas W. Jackson, Andrew A. West. 2021. Enhancing RFID system configuration through semantic modelling. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000096
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RESEARCH ARTICLE   Open Access    

Enhancing RFID system configuration through semantic modelling

  • Received: 20 August 2020
  • Revised: 18 May 2021
  • Accepted: 21 May 2021
  • Published online: 27 July 2021
The Knowledge Engineering Review  36,  2021, 36(1)  |  Cite this article

Abstract: Abstract: Radio-Frequency Identification (RFID) system technology is a key element for the realization of the Industry 4.0 vision, as it is vital for tasks such as entity tracking, identification and asset management. However, the plethora of RFID systems’ elements in combination with the wide range of factors that need to be taken under consideration along with the interrelations amongst them, make the problem of identification and design of the right RFID system, based on users’ needs particularly complex. The research outlined in this paper seeks to optimize this process by developing an integrating schema that will encapsulate this information in a form that is both human and machine processible. Human readability will allow a shared understanding of the RFID technology domain; machine readability, automated reasoning engines to perform logical deduction techniques returning implicit information. For this purpose, the novel RFID System Configuration Ontology (RFID SCO) is developed. Hence, non-RFID experts are enabled to identify the most suitable RFID system according to their needs and RFID experts to retrieve all the relevant information required for the efficient design of the corresponding RFID system. The RFID SCO is validated and tested successfully against real-world scenarios provided by domain experts.

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    Acknowledgments

    • This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) for Loughborough University (Adaptive informatics for intelligent manufacturing (EP/K014137/1); Embedded Integrated Intelligent Systems for Manufacturing (EP/P027482/1)). The authors would also like to thank Sarogini Grace Pease for her valuable insights on systems’ networks.

    Acknowledgments

    • The authors declare none.

    • https://www.marketresearchfuture.com/reports/radio-frequency-identification-market-3189.

    • https://www.rfidjournal.com/site/glossary-of-terms.

    • https://platform.impinj.com/indy/itk/latest/Glossary/Glossary.html#rfid-terminology.

    • https://www.w3.org/RDF/.

    • There are various ways of representing formally a logical expression of this form, in this research work the Manchester syntax (Horridge & Patel-Schneider, 2008) is adopted, as it is friendly to non-ontology experts.

    • https://github.com/eleniTsalapati/ONTOLOGIES/blob/master/RFID_SCO.owl.

    • https://www.ebi.ac.uk/ols/ontologies/envo.

    • https://basic-formal-ontology.org/.

    • For example, https://www.atlasrfidstore.com/xerafy-dot-on-xs-rfid-tag/.

    • https://www.atlasrfidstore.com/.

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    • © The Author(s), 2021. Published by Cambridge University Press2021Cambridge University Press
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    Eleni Tsalapati, James Tribe, Paul A. Goodall, Robert I. Young, Thomas W. Jackson, Andrew A. West. 2021. Enhancing RFID system configuration through semantic modelling. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000096
    Eleni Tsalapati, James Tribe, Paul A. Goodall, Robert I. Young, Thomas W. Jackson, Andrew A. West. 2021. Enhancing RFID system configuration through semantic modelling. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000096
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